Hi, Are There Any Examples To Elaborate On

Answered

Hi, are there any examples to elaborate on how Allegro Trains can help with ML Pipeline Deployment, Monitoring, and Triggers for continuous learning in MLOps? I can understand how helpful Trains is in terms of experiment management.

  				
Posted 
	4 years ago

					More
				  		
  Report
		
					SquareFish25
				
					0
					 × 1

Votes Newest

Answers 3

There's also a blog post 🙂
https://medium.com/pytorch/accelerate-your-hyperparameter-optimization-with-pytorchs-ecosystem-tools-bc17001b9a49

  				
Posted 
	4 years ago

					More
				  		
  Report
		
					AnxiousSeal95
				
					0
					 × 1

Hi SquareFish25
Sure, here are a few:
HPO
https://github.com/allegroai/trains/blob/master/examples/optimization/hyper-parameter-optimization/hyper_parameter_optimizer.py
Pipeline
https://github.com/allegroai/trains/blob/master/examples/pipeline/pipeline_controller.py
Automation:
https://github.com/allegroai/trains/blob/master/examples/automation/task_piping_example.py

  				
Posted 
	4 years ago

					More
				  		
  Report
		
					AgitatedDove14
				
					0
					 × 1

HI SquareFish25 , We also have a few webinars discussing these topics (more theoretical and what can be achieved using pipelines), check https://youtu.be/_5Re2GpcRp8 and https://youtu.be/yGg-exQHUfE out!

  				
Posted 
	4 years ago

					More
				  		
  Report
		
					AnxiousSeal95
				
					0
					 × 1

Write your answer

982 Views

3 Answers

4 years ago

one year ago